powerful network function 中文意思是什麼
powerful network function
解釋
強大的網路功能-
An indirect self - adaptive fuzzy - neural network controller ( fnnc ) has been proposed with its parameters and the structure tuned simultaneously by ga in virtue of the powerful optimization property of ga. the structure of the controller is based on the radical basis function ( rbf ) neural network with gaussian membership functions. the performance of the proposed fnnc is compared with a conventional fuzzy - pid controller and the simulation results show that the fnnc presents encouraging advantages
針對神經網路採用一維反向傳播訓練演算法速度較慢且易於陷入局部極小點的不足，設計了一種間接自校正模糊神經網路控制系統，利用遺傳演算法（ ca ）對隸屬度函數的結構和參數進行優化，模擬比較表明該控制比模糊pid控制具有更優的性能。 -
From the key link in bid - tender activity - bid assessment criteria and assessment method, aimed at different characteristics of project construction, this thesis sorted analyses bid assessment contents, and by means of the powerful function of neural network the thesis makes a prompt, accurate and complete assessment of bid scheme of multi factors project construction possible
本文從招標投標活動中的關鍵性環節? ?評標標準和評標方法著手，針對建設工程的不同特點，對評標內容進行分類剖析，藉助神經網路的強大功能，為快速、準確和全面評價多因素建設工程投標方案提供可能。 -
The network curriculum is the newly emerging thing which utilises computer and powerful mutimedia and interactive function of network technology
摘要網路課程是利用計算機及其網路技術強大的多媒體功能和交互功能而創造出來的新生事物。 -
Therefore it is just a program to be solved for the reliable, efficiency high information network management system of a powerful army design function
因此為部隊設計一個功能強大的、可靠的、效率高的信息網路管理系統正是一個急待解決的課題。 -
At present, people focus on the important effect of interaction betweenteachers and learners in network education to realize the face - to - facecommunication as well as that of traditional education, but at the same time, they ignore the powerful interactive function of multi - media technology withcomputer
教學交互在網路教育中有著極其重要的作用。根據教學交互層次塔理論，底層的操作交互是實現高層交互的基礎，是網路教學交互實現的技術保障。 -
The radar target identification based on artificial neural network is the protagonist of the chapter 4. bp network and wavelet network are used to classified the emulational radar targets. with the powerful capability of non - linnear identification of bp neural network, its ’ born limitations such as local extremum, slow convergence etc. can be reformed by the wavelet network, which is a network with a wavelet function embedded into the node of a bp network
研究了基於人工神經網路模型的雷達目標hrrp識別方法。 bp人工神經網路強大的非線性處理能力，在解決復雜目標分類識別時有優勢;小波神經網路針對bp網路的不足，將bp網路和小波變換相結合，在網路收斂、網路初始化方面彌補了bp網路的部分缺陷，其識別性能和抗噪性能與bp網路相比有所提高。
分享友人